Machine Learning A-Z: AI, Python & R + ChatGPT Prize [2025]
Interested in the field of Machine Learning? Then this course is for you!
This course has been designed by a Data Scientist and a Machine Learning expert so that we can share our knowledge and help you learn complex theory, algorithms, and coding libraries in a simple way.
Over 1 million students worldwide trust this course.
We will walk you step-by-step through the World of Machine Learning. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative subfield of Data Science.
This course can be completed by either doing the Python tutorials, or R tutorials, or both - Python & R. Pick the programming language that you need for your career.
This course is fun and exciting, and at the same time, we dive deep into Machine Learning. It is structured in the following way:
- Part 1 - Data Preprocessing
- Part 2 - Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression,
- Random Forest Regression
- Part 3 - Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest
- Classification
- Part 4 - Clustering: K-Means, Hierarchical Clustering
- Part 5 - Association Rule Learning: Apriori, Eclat
- Part 6 - Reinforcement Learning: Upper Confidence Bound, Thompson Sampling
- Part 7 - Natural Language Processing: Bag-of-words model and algorithms for NLP
- Part 8 - Deep Learning: Artificial Neural Networks, Convolutional Neural Networks
- Part 9 - Dimensionality Reduction: PCA, LDA, Kernel PCA
- Part 10 - Model Selection & Boosting: k-fold Cross Validation, Parameter Tuning, Grid Search, XGBoost
Each section inside each part is independent. So you can either take the whole course from start to finish, or you can jump right into any specific section and learn what you need for your career right now.
Moreover, the course is packed with practical exercises that are based on real-life case studies. So not only will you learn the theory, but you will also get lots of hands-on practice building your own models.
And last but not least, this course includes both Python and R code templates, which you can download and use on your own projects.
Who this course is for:
- Anyone interested in Machine Learning.
- Students who have at least high school knowledge in math and who want to start learning Machine Learning.
- Any intermediate-level people who know the basics of machine learning, including the classical algorithms like linear regression or
- logistic regression, but who want to learn more about it and explore all the different fields of Machine Learning.
- Any people who are not that comfortable with coding but who are interested in Machine Learning and want to apply it easily to datasets.
- Any students in college who want to start a career in Data Science.
- Any data analysts who want to level up in Machine Learning.
- Any people who are not satisfied with their job and who want to become a Data Scientist.
- Any people who want to create added value to their business by using powerful Machine Learning tools.
Instructors
Kirill Eremenko
DS & AI Instructor
My name is Kirill Eremenko, and I am super psyched that you are reading this!
Professionally, I come from the Data Science consulting space with experience in finance, retail, transport, and other industries. I was trained by the best analytics mentors at Deloitte Australia, and since starting on Udemy, I have passed on my knowledge to thousands of aspiring data scientists.
From my courses, you will straight away notice how I combine my real-life experience and academic background in Physics and Mathematics to deliver professional step-by-step coaching in the space of Data Science. One of the strongest sides of my teaching style is that I focus on intuitive explanations, so you can be sure that you will truly understand even the most complex topics.
To sum up, I am absolutely and utterly passionate about Data Science, and I am looking forward to sharing my passion and knowledge with you!
Hadelin de Ponteves
Passionate AI Instructor
Hadelin is one of Udemy’s top instructors and a recognized leader in AI education. He has taught over 2.5 million learners worldwide and is a frequent guest speaker at prominent industry events. Hadelin has created more than 30 top-rated courses on topics such as AI, Machine Learning, Deep Learning, Blockchain, and Cloud Computing, empowering learners around the globe to upskill in cutting-edge technologies.
In addition to his partnership with Udemy, Hadelin is the co-founder of SuperDataScience. He is passionate about education and is on a mission to make complex technologies simple, practical, and widely accessible to all.
As a side activity, he is also an actor who has acted in seven films, and a movie producer of two films (Indian and French).
SuperDataScience Team
We are the SuperDataScience team. You will hear from us when new SuperDataScience courses are released, when we publish new podcasts, blogs, share cheat sheets, and more!
We are here to help you stay on the cutting edge of Data Science and Technology.
See you in class,
Sincerely,
SuperDataScience Team!
Ligency
With a 4.6 instructor rating, ~1M reviews, and 121 courses in 12 languages, we help engineers, leaders, and teams master the skills that power today’s AI revolution - then ship real results.
We start where the real world starts: with large language models and the products they power. You’ll learn the foundations of AI and Generative AI (gen AI), then ship production-grade systems - chatbots, copilots, automations, and AI agents.
Get Machine Learning A-Z: AI, Python & R + ChatGPT Prize [2025] or the other courses from the same one of these categories: Artificial Intelligence, Hadelin de Ponteves, Data Visualisation, Machine Learning, Kirill Eremenko, Data Science, Programming, Regression, Languages, ChatGPT, Course, Python, AI for free on Course Sharing.
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